mzOS
Small library for features annotations in LC-MS metabolomics experiments:
- isotopes detection
- adducts/fragments annotation using simple heuristics (when conflicts)
- database search (HMDB, LMSD) from local sqlite file (fast)
- database assignment scoring based on predicted isotopic distribution and bayesian algorithm.
Some documentation is available here (to be completed).
Dependancies
- numpy
- scipy
- scikit-learn
- pandas
Roadmap
- support more databases
- export results as a graph